Red Cabbage Modulates Composition and Co-Occurrence Networks of Gut Microbiota in a Rodent Diet-Induced Obesity Model

作者
Yanbei Wu,Mengmeng Xin,Quynhchi Pham,Gao Yu,Haiqiu Huang,Xiaojing Jiang,Robert W. Li,Liangli Lucy Yu,Yaguang Luo,Jing Wang,Thomas T. Y. Wang
出处
期刊:Foods [Multidisciplinary Digital Publishing Institute]
卷期号:13 (1): 85-85 被引量:8
标识
DOI:10.3390/foods13010085
摘要

Red cabbage (RC), a cruciferous vegetable rich in various bioactive substances, can significantly reduce the risk factors of several chronic metabolic diseases, but its mechanism remains clear. Given that the relationship between diet, gut microbiota and health, a diet -induced mice obesity model was used to elucidate the effects of RC on gut microbial composition and interactions in mice. After 24-hour dietary intervention, high-fat (HF) diet and intake of RC led to increased Firmicutes/Bacteroidetes (F/B) ratios in the feces of mice. RC also reduced the relative abundance of Bifidobacteria, Lactobacillus and Akkermansia muciniphila in mice fed low fat (LF) diet. After 8-weeks dietary intervention, RC significantly changed the structure and the ecological network of gut microbial community. Particularly, RC inhibited an HF-diet induced increase of AF12 in mice, and this genus was positively correlated with body weight, low-density lipoprotein level and fecal bile acid of mice. Unclassified Clostridiales, specifically increased by RC consumption, was also found to negatively correlate with hepatic free cholesterol levels in mice. Overall, our results demonstrated that RC modulation of gut microbial composition and interactions is associated with the attenuation of HF diet-induced body weight gain and altered cholesterol metabolism of mice.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
aa发布了新的文献求助10
刚刚
长颈鹿完成签到,获得积分10
刚刚
毛毛虫完成签到,获得积分10
刚刚
英勇幻天发布了新的文献求助20
刚刚
齐齐发布了新的文献求助10
刚刚
ding的应助被bill采纳,获得10
1秒前
jasmine关注了科研通微信公众号
1秒前
一秋一年发布了新的文献求助10
1秒前
很久很久发布了新的文献求助10
2秒前
2秒前
minnn发布了新的文献求助20
2秒前
带线一去不回完成签到,获得积分10
2秒前
Rocky完成签到 ,获得积分10
2秒前
3秒前
李健的小迷弟的应助被WHY采纳,获得10
3秒前
4秒前
4秒前
eiland发布了新的文献求助10
4秒前
4秒前
十页完成签到,获得积分10
5秒前
星辰大海的应助被aa采纳,获得10
5秒前
5秒前
直率的笑翠完成签到 ,获得积分10
5秒前
6秒前
NexusExplorer的应助被senli2018采纳,获得10
6秒前
semigreen完成签到,获得积分10
6秒前
SciGPT的应助被Lxy_zb采纳,获得10
7秒前
7秒前
魏晋发布了新的文献求助10
7秒前
G13完成签到,获得积分10
7秒前
xuqiansd完成签到,获得积分10
8秒前
8秒前
一秋一年完成签到,获得积分10
9秒前
orixero的应助被senli2018采纳,获得10
9秒前
9秒前
9秒前
9秒前
小马甲的应助被五毛采纳,获得20
9秒前
科研通AI6.4的应助被www采纳,获得10
9秒前
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Les Mantodea De Guyane 2000
Guidelines for fracture-safe and fatigue-reliable design of steel structures 600
Problems and Solutions for Integer and Combinatorial Optimization: Building Skills in Discrete Optimization 600
Organizational Behavior 510
Atelier, 2nd edition 500
Study of structural arctic steel in a friction pair with ice 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 7995248
求助须知:如何正确求助?哪些是违规求助? 9449985
关于积分的说明 21127702
捐赠科研通 7568680
什么是DOI,文献DOI怎么找? 3379637
关于科研通互助平台的介绍 2513212
邀请新用户注册赠送积分活动 2413448